CS · AI

Artificial Intelligence

23 hours, 27 minutes 33 Seconds

Description

Artificial intelligence spans search algorithms, knowledge representation, and intelligent agents that reason and act. This course introduces the foundational theory behind AI systems, covering problem-solving techniques and reasoning under uncertainty that underlie modern intelligent applications.

What Students Will Learn

+ Intelligent Agents and Search ›
+ Knowledge Representation and Reasoning ›
+ Reasoning Under Uncertainty ›
+ Introduction to Learning Agents ›

Overall Learning Outcomes

  1. Conceptual Foundation: Explain core AI concepts including agents, search, and reasoning.
  2. Problem-Solving: Apply search and optimization techniques to solve AI problems.
  3. Reasoning Skills: Model knowledge and reason under uncertainty in AI systems.
  4. Systems Thinking: Connect foundational AI theory to modern intelligent applications.
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